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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1, user-scalable=0"/> <!--320-->
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>Halee Mason</title>
<link rel="icon" href="img/favicon.ico" type="image/x-icon">
<!-- Bootstrap -->
<link href="css/bootstrap.min.css" rel="stylesheet">
<link href="ionicons/css/ionicons.min.css" rel="stylesheet">
<link href="css/animate.min.css" rel="stylesheet">
<link href="css/aos.css" rel="stylesheet">
<!-- main style -->
<link href="css/style.css" rel="stylesheet">
<style type="text/css">
img.logo {
margin-bottom: 0px;
margin-top: 0px;
}
</style>
<!-- HTML5 shim and Respond.js for IE8 support of HTML5 elements and media queries -->
<!-- WARNING: Respond.js doesn't work if you view the page via file:// -->
<!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
<![endif]-->
</head>
<body>
<!-- Preloader -->
<div id="preloader">
<div id="status">
<div class="preloader" aria-busy="true" aria-label="Loading, please wait." role="progressbar">
</div>
</div>
</div>
<!-- ./Preloader -->
<!-- header -->
<header class="navbar-fixed-top">
<!-- <nav>
<ul>
<li><a href="#about">About</a></li>
<li><a href="#experience">Experience</a></li>
<li><a href="#education">Education</a></li>
<li><a href="#projects">Projects</a></li>
<li><a href="#contact">Contact</a></li>
</ul>
</nav> -->
<nav class="navbar navbar-default">
<div class="container-fluid">
<div class="navbar-header">
<button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false" aria-controls="navbar" style="margin-top:15px">
<span class="sr-only">Toggle navigation</span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
</div>
<div id="navbar" class="navbar-collapse collapse">
<ul class="nav navbar-nav">
<li><a href="#about">About</a></li>
<li><a href="#experience">Experience</a></li>
<li><a href="#education">Education</a></li>
<li><a href="#projects">Projects</a></li>
<li><a href="#contact">Contact</a></li>
</ul>
</div><!--/.nav-collapse -->
</div><!--/.container-fluid -->
</nav>
</header>
<!-- ./header -->
<!-- home -->
<div class="section" id="home">
<div class="container">
<div class="disply-table">
<div class="table-cell" data-aos="fade-up">
<h4 class="text-white">Halee Mason</h4>
<h1>Director of Technology & Partnerships</h1> </div><!-- </br> Machine Learning Engineer -->
</div>
</div>
</div>
<!-- ./home -->
<!-- about -->
<div class="section" id="about">
<div class="container">
<div class="col-md-6" data-aos="fade-up">
<h4>01</h4>
<h1 class="size-50">About Halee</h1>
<div class="h-50"></div>
<p>Experienced Data Scientist with a Master's in Data Science and a demonstrated history of collaborations with clients to solve challenging problems in the machine learning and AI consulting services industry. Thrives when developing and deploying predictive models in production environments to drive business value for clients. Enjoys blending Data Science and Software Engineering best practices with a machine learning focus to create useful, repeatable solutions. Skilled in data wrangling, text mining and classification, algorithm development, and deployment of analytical models while utilizing technologies such as Python, Spark, and R.
</p>
<!-- <div class="h-50"></div> <img src="img/Signature.svg" width="300" alt="" /> -->
<div class="h-50"></div>
</div>
<div class="col-md-6 about-img-div">
<!-- <div class="about-border" data-aos="fade-up" data-aos-delay=".5"></div> -->
<img src="img/about-img.jpg" width="400" class="img-responsive" alt="" data-aos="fade-right" data-aos-delay="0" id="profile-img" />
</div>
</div>
</div>
<!-- ./about -->
<!-- experience -->
<div class="section" id="experience">
<div class="container">
<div class="col-md-12">
<h4>02</h4>
<h1 class="size-50">Experience</h1>
<div class="h-50"></div>
</div>
<div class="col-md-12">
<ul class="timeline">
<li class="timeline-event" data-aos="fade-up">
<label class="timeline-event-icon"></label>
<div class="timeline-event-copy">
<p class="timeline-event-thumbnail">March 2023 - Present</p>
<h3>Director of Technology & Partnerships</h3>
<h4><a href="https://www.cloud9.gg/">Cloud9 Esports Inc.</a></h4>
<ul>
<li>Responsible for over 10 different partnerships including, driving strategic alliances, and revenue growth through innovative collaboration and relationship management at Cloud9.
</li>
<li>Leads a cross-functional team to establish and execute partnership agreements with industry-leading organizations such as Microsoft, AT&T, Red Bull, Kingston, Polygon, Secretlab, BC.GAME, and Guild of Guardians, driving product & service integration and enhancing customer experience while cultivating long-term relationships and opening new business opportunities.
</li>
<li>Established and maintained a data-driven approach to partnership performance measurement, resulting in continuous improvement and optimized ROI.
</li>
<li>Developed and executed innovative co-marketing campaigns that significantly boosted brand visibility and customer acquisition.
</li>
<li>Collaborated with the product development team to identify and prioritize partnership-driven product enhancements, driving customer satisfaction.
</li>
<li>Successfully negotiated high-value contracts, securing favorable terms and conditions, contributing to cost savings of millions of dollars.</li>
</li>
</ul>
</div>
</li>
<li class="timeline-event" data-aos="fade-up">
<label class="timeline-event-icon"></label>
<div class="timeline-event-copy">
<p class="timeline-event-thumbnail">Janurary 2023 - March 2023</p>
<h3>Director of Technology & Analytics</h3>
<h4><a href="https://www.cloud9.gg/">Cloud9 Esports Inc.</a></h4>
<ul>
<li>Leads technology intiatives for Cloud9 including general IT Administration, Website, STRATUS, Web3, Data Automation, Security and Compliance, and Competitive Analytics for VALORANT and League of Legends.</li>
</li>
</ul>
</div>
</li>
<li class="timeline-event" data-aos="fade-up">
<label class="timeline-event-icon"></label>
<div class="timeline-event-copy">
<p class="timeline-event-thumbnail">September 2022 - Feburary 2023</p>
<h3>Interim Senior Technical Partnerships Manager</h3>
<h4><a href="https://www.cloud9.gg/">Cloud9 Esports Inc.</a></h4>
<ul>
<li> Responsible for leading technical and Web3 partnerships accounts for Cloud9 including: Microsoft, Polygon, Blockchain.com, Guild of Guardians, and Axie Infinity.</li>
</li>
<li> Managed partner relationships, ensured Cloud9 and partners met agreed upon commitments, provided technical input into partner scope of work, and recommended technical approaches when appropriate.</li>
</li>
<li> Led large scale sponsorship events with multiple stakeholders, complicated external and internal dependencies, and intersecting workstreams including: marketing campaigns, co-branded Web3 esports.</li>
</li>
<li> Partnered with marketing, content, social, engineering, and product managers to deliver best-in-class digital partner experiences, lead communications, and reporting around partner status at all levels.</li>
</ul>
</div>
</li>
<li class="timeline-event" data-aos="fade-up">
<label class="timeline-event-icon"></label>
<div class="timeline-event-copy">
<p class="timeline-event-thumbnail">June 2019 - December 2022</p>
<h3>Lead Data Scientist</h3>
<h4><a href="https://www.cloud9.gg/">Cloud9 Esports Inc.</a></h4>
<ul>
<li>Worked with the Cloud9 League of Legends team professional players, coaches, and technical partners to lead and develop analytics projects.</li>
<li>Technical engagement lead for the multi-year partnership with Microsoft to develop technology and performance analytics solutions.</li>
</li>
<li>Design and implement highly resilient and reliable cloud-based, on-premises, or hybrid architectures for development, data pipelining, and model delivery in multiple programming languages to support internal research and customer needs.</li>
</ul>
</div>
</li>
<li class="timeline-event" data-aos="fade-up" data-aos-delay=".2">
<label class="timeline-event-icon"></label>
<div class="timeline-event-copy">
<p class="timeline-event-thumbnail">August 2017 - June 2019</p>
<h3>Data Scientist</h3>
<h4><a href="http://www.elderresearch.com">Elder Research, Inc.</a></h4>
<ul>
<li>Has led multiple projects through all phases of the data science lifecycle, in terms of technical execution, project management, and client engagement, with a focus on translating business understanding into appropriate technical direction.</li>
<li>Utilized Python, R, and Spark to develop, implement, and deploy predictive models and data pipelines for wrangling production data sources from a variety of stores including Elasticsearch, Redshift, SQL Server, S3, and HDFS.</li>
<li>Experienced with text mining, classification, topic modeling, and natural language processing through development of multiple text-related models for clients including an LDA topic model and SVM multilabel classification model in Python.</li>
<li>Created and taught PySpark hands-on training exercises involving data wrangling, pipeline creation, and data visualization delivered through a 2-day onsite Data Engineering practitioners course using Spark, AWS, and Hadoop to 17 students.</li>
<li>Published two Python packages: one to streamline the process of residual effects analysis on categorical variables for advanced feature engineering for predictive modeling and a second for deploying a text classification model in AWS.</li>
<li>Earned AWS Technical Professional Accreditation from AWS APN, <i>December 2018</i></li>
</ul>
</div>
</li>
<li class="timeline-event" data-aos="fade-up" data-aos-delay=".2">
<label class="timeline-event-icon"></label>
<div class="timeline-event-copy">
<p class="timeline-event-thumbnail">March 2016 - August 2017</p>
<h3>Data Analyst</h3>
<h4><a href="http://www.elderresearch.com">Elder Research, Inc.</a></h4>
<ul>
<li>Worked with clients, managers, and technical staff to understand business needs and develop predictive models to deliver high quality results, while contributing substantially to the execution of technical tasks.</li>
<li>Collaborated with a team of data scientists and software engineers using version control and agile methodologies in a rapid-paced work environment to meet client needs, leading to repeat business and two successful model deployments.</li>
<li>Led the Summer Internship Training Program by training students on data science concepts and machine learning algorithms.</li>
<li>Data science team lead for developing and deploying a predictive timeseries model in PySpark to forecast package arrival timeframes within a large shipping and logistics company.</li>
</ul>
</div>
</li>
<li class="timeline-event" data-aos="fade-up" data-aos-delay=".3">
<label class="timeline-event-icon"></label>
<div class="timeline-event-copy">
<p class="timeline-event-thumbnail">July 2013 - May 2017</p>
<h3>Clinical Laboratory Scientist</h3>
<h4><a href="https://uvahealth.com/">University of Virginia Health System</a></h4>
<ul>
<li>Performed high-complexity flow cytometry testing to identify diverse leukemia and lymphomas, with an emphasis on quantitative data analysis and analytical interpretation of results to classify a variety of immunologic disorders.</li>
<li>Managed laboratory generated data to enable effective, timely, accurate, cost-effective reporting of patient outcomes while collaborating with attendings in diagnosis.</li>
</ul>
</div>
</li>
</ul>
</div>
</div>
</div>
<!-- ./experience -->
<!-- education -->
<div class="section" id="education">
<div class="container">
<div class="col-md-12">
<h4>03</h4>
<h1 class="size-50">Education</h1>
<div class="h-50"></div>
</div>
<div class="col-md-12">
<ul class="timeline">
<li class="timeline-event" data-aos="fade-up">
<label class="timeline-event-icon"></label>
<div class="timeline-event-copy">
<p class="timeline-event-thumbnail">August 2017</p>
<h3>M.S. Data Science</h3> <!-- Master of Science (M.S.), Data Science -->
<h4><a href="https://www.uwec.edu/">University of Wisconsin Eau Claire</a></h4>
<p><strong>Courses:</strong></p>
<div class="row">
<div class="col-xs-6 col-sm-6 col-md-3 col-lg-3">
<ul class="list-unstyled">
<li class="text-nowrap">Statistical Methods</li>
<li class="text-nowrap">Data Warehousing</li>
<li class="text-nowrap">Prescriptive Analytics</li>
</ul>
</div>
<div class="col-xs-6 col-sm-6 col-md-3 col-lg-3">
<ul class="list-unstyled">
<li class="text-nowrap">Unstructured Data Analysis</li>
<li class="text-nowrap">Social Network Analysis</li>
<li class="text-nowrap">Programming for Data Science</li>
</ul>
</div>
<div class="col-xs-6 col-sm-6 col-md-3 col-lg-3">
<ul class="list-unstyled">
<li class="text-nowrap">Machine Learning</li>
<li class="text-nowrap">Data Mining</li>
<li class="text-nowrap">Ethics of Data Science</li>
</ul>
</div>
<div class="col-xs-6 col-sm-6 col-md-3 col-lg-3">
<ul class="list-unstyled">
<li class="text-nowrap">High-Performance Computing</li>
<li class="text-nowrap">Visualization & Communication</li>
<li class="text-nowrap">Strategic Decision-Making</li>
</ul>
</div>
</div>
</div>
</li>
<li class="timeline-event" data-aos="fade-up" data-aos-delay=".2">
<label class="timeline-event-icon"></label>
<div class="timeline-event-copy">
<p class="timeline-event-thumbnail">May 2013</p>
<h3>B.S. Medical Technology </h3>
<h4><a href="https://www.fredonia.edu/">State University of New York at Fredonia</a></h4>
<p><strong>Courses:</strong></p>
<div class="row">
<div class="col-xs-6 col-sm-6 col-md-3 col-lg-3">
<ul class="list-unstyled">
<li>Calculus</li>
<li>Genetics</li>
</ul>
</div>
<div class="col-xs-6 col-sm-6 col-md-3 col-lg-3">
<ul class="list-unstyled">
<li>Biology I & II</li>
<li>Biochemistry</li>
</ul>
</div>
<div class="col-xs-6 col-sm-6 col-md-3 col-lg-3">
<ul class="list-unstyled">
<li>General Chemistry I & II</li>
<li>Microbiology</li>
</ul>
</div>
<div class="col-xs-6 col-sm-6 col-md-3 col-lg-3">
<ul class="list-unstyled">
<li>Organic Chemistry I & II</li>
<li>Immunology & Serology</li>
</ul>
</div>
</div>
</div>
</li>
</ul>
</div>
</div>
</div>
<!-- ./education -->
<!-- projects -->
<div class="section" id="projects">
<div class="container">
<div class="col-md-12">
<h4>04</h4>
<h1 class="size-50">Projects</h1>
</div>
<!-- main container -->
<div class="main-container portfolio-inner clearfix">
<!-- portfolio div -->
<div class="portfolio-div">
<div class="portfolio">
<!-- portfolio_filter -->
<div class="categories-grid wow fadeInLeft">
<nav class="categories">
<ul class="portfolio_filter">
<li><a href="" class="active" data-filter="*">All</a></li>
<li><a href="" data-filter=".projects">Projects</a></li>
<li><a href="" data-filter=".competitions">Competitions</a></li>
<li><a href="" data-filter=".capstone">Capstone</a></li>
<li><a href="" data-filter=".spotlight">Spotlight</a></li>
</ul>
</nav>
</div>
<!-- portfolio_filter -->
<!-- portfolio_container -->
<div class="no-padding portfolio_container clearfix" data-aos="fade-up">
<!-- single work -->
<div onclick="populateModalContent('Charlottesville Open Data<br /> Challenge',
'<p><b>Completed:</b> April 2018<br> </p><p>Developed multiple timeseries models (ARIMA, Regression) in Python with a team of four Data Scientists. Deployed the models using Docker to forecast Wi-Fi usage in daily and hourly increments.</p><p>Created a website using HTML/CSS, Vue, and JavaScript. <b>Won 1st place Best Data Storytelling submission</b> and 4th place Best Predictive Model submission.</p><p>Click <a href="https://haleemason.github.io/hackd-web/#"><b>here</b></a> to view our Data Storytelling submission.</p>',
'<p>The Best Data Storytelling submission was evaluated for the following criteria: <li><b>Soundness</b> – How robust and rigorous is the analysis behind the storytelling?</li><li><b>Explainable</b> – How well does the story explain what is going on in the data?</li><li><b>Appeal</b> – How stunning are the visuals?</li><li><b>Accessibility</b> – How accessible are the findings to a diverse audience?</li><li><b>Engagement</b> – How engaging is the combined narrative and visuals?</p><p>The goal of the challenge was to use open data and crowdsourcing to engage the growing data science community within Charlottesville and the surrounding area to help the city better understand pedestrian use of the Downtown Mall. The Mall is one of the most successful pedestrian malls in the nation and is a vibrant collection of more than 120 shops and 30 restaurants and the city wants to ensure that capital infrastructure plans are prioritized effectively.</p><p>The challenge required registered teams of data scientists to analyze a year of anonymized time series data on free WiFi usage, create a predictive model forecasting pedestrian usage, and to identify influential factors on pedestrian usage through visualization.</p>',
'img/portfolio/01a.jpg')" class="col-md-4 col-sm-6 competitions">
<a id="demo01" href="#animatedModal" class="portfolio_item"> <img src="img/portfolio/01.jpg" alt="image" class="img-responsive" />
<div class="portfolio_item_hover">
<div class="portfolio-border clearfix">
<div class="item_info">
<span>Charlottesville Wifi Open <br> Data Challenge</span>
<em>Competition </em><br />
</div>
</div>
</div>
</a>
</div>
<!-- end single work -->
<!-- single work -->
<div onclick="populateModalContent('League of Legends<br /> Statistical Analysis',
'<p><b>In Progress:</b> July 2018 – Present<br> </p>Personal project to query the Riot Games Developer API to collect, clean, and prepare League of Legends data for statistical analysis. ',
'Developed a <a href="https://github.com/haleemason/santa-monica"><b>Random Forest</b></a> model in Python that ingests recent player match data and predicts lane assignment based on champion information.',
'img/portfolio/02.jpg')" class="col-md-4 col-sm-6 projects">
<a id="demo02" href="#animatedModal" class="portfolio_item"> <img src="img/portfolio/02a.jpg" alt="image" class="img-responsive"/>
<div class="portfolio_item_hover">
<div class="portfolio-border clearfix">
<div class="item_info">
<span>League of Legends<br> Predictive Model</span>
<em>Project</em> <br />
</div>
</div>
</div>
</a>
</div>
<!-- end single work -->
<!-- single work -->
<div onclick="populateModalContent('Predicting Stroke Readmission<br /> Capstone Project',
'<p><b>Completed:</b> August 2017<br> <p>Built a <a href="https://github.com/haleemason/stroke-readmission-model"><b>predictive model using Python and TensorFlow</b></a> that was optimized to forecast the risk of rehospitalization in the year following stroke. Collaborated with client and focused on model explainability by using techniques such as LIME.</p>',
'Implemented the model to drive patient outcomes to help the client segment high risk patients and engage with them more closely to prevent readmission. Deployed model through a Heroku web service which allowed for the client to input patient specific parameters and for the model to output a personalized risk score of rehospitalization.</p>',
'img/portfolio/03.jpg')" class="col-md-4 col-sm-6 capstone">
<a id="demo03" href="#animatedModal" class="portfolio_item"> <img src="img/portfolio/03.jpg" alt="image" class="img-responsive" />
<div class="portfolio_item_hover">
<div class="portfolio-border clearfix">
<div class="item_info">
<span>Predicting Risk of Readmission <br> for Stroke Patients</span>
<em>Capstone</em> <br />
</div>
</div>
</div>
</a>
</div>
<!-- end single work -->
<!-- single work -->
<div onclick="openProject()"
class="col-md-4 col-sm-6 capstone">
<a id="demo03" href="#animatedModal" class="portfolio_item">
<img src="img/portfolio/msft/cloud9-halee-mason-office-1422x800.jpg" style="object-fit:cover; width:330px; height:235px;" alt="image" class="img-responsive" />
<div class="portfolio_item_hover">
<div class="portfolio-border clearfix">
<div class="item_info">
<span>Microsoft Technical Spotlight <br> InCulture Inspire Article</span>
<em>Spotlight</em> <br />
</div>
</div>
</div>
</a>
</div>
<!-- end single work -->
</div>
<!-- end portfolio_container -->
</div>
<!-- portfolio -->
</div>
<!-- end portfolio div -->
</div>
<!-- end main container -->
</div>
</div>
<!-- ./projects -->
<!-- contact -->
<div class="section" id="contact">
<div class="container">
<div class="col-md-12">
<h4>05</h4>
<h1 class="size-50">Contact Halee</h1>
<div class="h-50"></div>
</div>
<div class="col-xs-12 col-sm-12 col-md-12 col-lg-12" data-aos="fade-up">
<h3>Email</h3>
<p style="unicode-bidi:bidi-override;direction:rtl;text-align:left">[email protected]</p>
<h3>Social Network</h3>
<ul class="social">
<li><a href="https://github.com/haleemason/"><i class="ion-social-github"></i></a></li>
<!-- <li><a href="https://www.twitter.com/czayta"><i class="ion-social-twitter"></i></a></li>
<li><a href="https://api.whatsapp.com/send?phone=16787876883&text=Hi.%20I%20found%20your%20website%20(www.bitfork.ml)%20and%20would%20like%20to%20connect."><i class="ion-social-whatsapp"></i></a></li> -->
<li><a href="http://www.linkedin.com/in/haleemason"><i class="ion-social-linkedin"></i></a></li>
</ul>
<div class="clearfix"></div>
<div class="h-50"></div>
</div>
<!-- Removing for now because php forms do not work on github pages -->
<!-- <div class="col-md-8" data-aos="fade-up">
<form class="contact-bg" id="contact-form" name="contact" method="post" novalidate="novalidate">
<input type="text" name="name" class="form-control" placeholder="Your Name" />
<input type="email" name="email" class="form-control" placeholder="Your E-mail" />
<input type="text" name="phone" class="form-control" placeholder="Phone Number" />
<textarea name="message" class="form-control" placeholder="Your Message" style="height:120px"></textarea>
<button id="submit" type="submit" name="submit" class="btn btn-glance">Send</button>
<div id="success">
<p class="green textcenter"> Your message was sent successfully! I will be in touch as soon as I can. </p>
</div>
<div id="error">
<p> Something went wrong, try refreshing and submitting the form again. </p>
</div>
</form>
</div> -->
</div>
</div>
<!-- ./contact -->
<!--DEMO01-->
<div id="animatedModal" class="popup-modal">
<!--THIS IS IMPORTANT! to close the modal, the class name has to match the name given on the ID -->
<div id="btn-close-modal" class="close-animatedModal close-popup-modal"> <i class="ion-close-round"></i> </div>
<div class="clearfix"></div>
<div class="modal-content">
<div class="container">
<div class="portfolio-padding">
<div class="col-md-8 col-md-offset-2">
<h2 id="modal-title"></h2>
<div class="h-50"></div>
<p id="modal-content-top"></p>
<br />
<br />
<img id="modal-img" src="" alt="" class="img-responsive" />
<br />
<br />
<iframe id="modal-video" width="100%" height="338" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
<br />
<br />
<p id="modal-content-bottom" > </p>
<br />
<br /> </div>
</div>
</div>
</div>
</div>
<!-- jQuery -->
<!-- jQuery -->
<script src="js/jquery.js"></script>
<!-- plugins -->
<script src="js/bootstrap.min.js"></script>
<script src="js/plugins.js"></script>
<script src="js/aos.js"></script>
<script src="js/jquery.form.js"></script>
<script src="js/jquery.validate.min.js"></script>
<!-- main script -->
<script src="js/custom.js"></script>
</body>
</html>